Socioeconomic, Demographic, and Environmental Factors May Inform Malaria Intervention Prioritization in Urban Nigeria

Author:

Chiziba Chilochibi1ORCID,Mercer Laina D.2,Diallo Ousmane1,Bertozzi-Villa Amelia3,Weiss Daniel J.45ORCID,Gerardin Jaline1,Ozodiegwu Ifeoma D.16ORCID

Affiliation:

1. Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA

2. PATH, Seattle, WA 98121, USA

3. Institute for Disease Modeling, Seattle, WA 98005, USA

4. Telethon Kids Institute, Nedlands, WA 6009, Australia

5. Faculty of Health Sciences, Curtin University, Bently, WA 6102, Australia

6. Department of Health Informatics and Data Science, Loyola University, Health Sciences Campus, Maywood, IL 60153, USA

Abstract

Urban population growth in Nigeria may exceed the availability of affordable housing and basic services, resulting in living conditions conducive to vector breeding and heterogeneous malaria transmission. Understanding the link between community-level factors and urban malaria transmission informs targeted interventions. We analyzed Demographic and Health Survey Program cluster-level data, alongside geospatial covariates, to describe variations in malaria prevalence in children under 5 years of age. Univariate and multivariable models explored the relationship between malaria test positivity rates at the cluster level and community-level factors. Generally, malaria test positivity rates in urban areas are low and declining. The factors that best predicted malaria test positivity rates within a multivariable model were post-primary education, wealth quintiles, population density, access to improved housing, child fever treatment-seeking, precipitation, and enhanced vegetation index. Malaria transmission in urban areas will likely be reduced by addressing socioeconomic and environmental factors that promote exposure to disease vectors. Enhanced regional surveillance systems in Nigeria can provide detailed data to further refine our understanding of these factors in relation to malaria transmission.

Funder

Bill & Melinda Gates Foundation

Publisher

MDPI AG

Reference63 articles.

1. World Health Organization (2021). World Malaria Report 2021, World Health Organization.

2. Spatio-temporal analysis of association between incidence of malaria and environmental predictors of malaria transmission in Nigeria;Okunlola;Sci. Rep.,2019

3. National Malaria Control Programme, suMAP, World Health Organization, and INFORM Project (2013). A description of the epidemiology of malaria to guide the planning of control in Nigeria, A Report Prepared for the Federal Ministry of Health, Nigeria, the Roll Back Malaria Partnership and the Department for International Development, UK.

4. Evaluating the effects of climate and environmental factors on under-5 children malaria spatial distribution using generalized additive models (GAMs);Zewotir;J. Epidemiol. Glob. Health,2020

5. United Nations Department of Economic and Social Affairs (2019). World Urbanization Prospects: The 2018 Revision, United Nations Department of Economic and Social Affairs.

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